P
US10801944B2ActiveUtilityPatentIndex 59

High accuracy 5-part differential with digital holographic microscopy and untouched leukocytes from peripheral blood

Assignee: SIEMENS HEALTHCARE GMBHPriority: Mar 16, 2016Filed: Jan 26, 2017Granted: Oct 13, 2020
Est. expiryMar 16, 2036(~9.7 yrs left)· nominal 20-yr term from priority
Inventors:EL-ZEHIRY NOHA YOUSSRYHAYDEN OLIVERKAMEN ALIRICHTER LUKASSTANZEL MANFREDUGELE MATTHIASSEIDEL DANIELAMARQUARDT GABYSCHMIDT OLIVER
G03H 2240/56G01N 15/147G01N 2015/1454G01N 2015/1006G03H 1/0443G03H 2001/0445G03H 2001/005G01N 15/1429G03H 2210/20G03H 2210/55G01N 15/1434G03H 1/0005
59
PatentIndex Score
1
Cited by
33
References
19
Claims

Abstract

The present invention relates to an improved method for marker-free detection of a cell type of at least one cell in a medium using microfluidics and digital holographic microscopy, as well as a device, particular for carrying out the method.

Claims

exact text as granted — not AI-modified
The invention claimed is: 
     
       1. A method for marker-free detection of a cell type of at least one cell in a medium, comprising:
 flowing a medium comprising at least one cell into a microfluidic device, 
 obtaining an image of the at least one cell in the microfluidic device by a digital holographic microscopic device, wherein the image is obtained with a depth of field of less than 6 μm, and 
 determining the cell type of the at least one cell. 
 
     
     
       2. The method of  claim 1 , wherein the image is obtained with a lateral resolution of less than 0.6 μm. 
     
     
       3. The method of  claim 1 , wherein the marker-free detection is carried out while flowing the medium comprising the at least one cell through the microfluidic device. 
     
     
       4. The method of  claim 3 , wherein the flow in the microfluidic device is at least laminar in a region wherein the image of the at least one cell is obtained. 
     
     
       5. The method of  claim 4 , wherein the microfluidic device comprises a microchannel in the region wherein the image of the at least one cell is obtained in which the laminar flow is produced by at least one sheath flow. 
     
     
       6. The method of  claim 5 , wherein surfaces of the microchannel perpendicular to a wavefront of a reference or detection beam of the digital holographic microscopic device are essentially planar. 
     
     
       7. The method of  claim 1 , wherein a field of view of the digital holographic microscopic device is at most 1.0 times a width of the microfluidic device in a region wherein the image of the at least one cell is obtained. 
     
     
       8. The method of  claim 1 , wherein the at least one cell is a blood cell. 
     
     
       9. The method of  claim 8 , wherein the blood cell is a white blood cell. 
     
     
       10. The method of  claim 1 , wherein determining of the cell type of the at least one cell is carried out using a deep learning network. 
     
     
       11. The method of  claim 1 , wherein a reference beam and a detection beam of the digital holographic microscopic device are off axis. 
     
     
       12. The method of  claim 1 , wherein the determining the cell type of the at least one cell comprises determining the cell type of the at least one cell to be one selected from the group of a neutrophil, eosinophil, and basophil. 
     
     
       13. A device for marker-free detection of a cell type of at least one cell in a medium, comprising:
 a digital holographic microscopic device with a depth of field of less than 6 μm; 
 a microfluidic device; and 
 a detection system configured to determine the cell type of the at least one cell. 
 
     
     
       14. The device of  claim 13 , wherein the digital holographic microscopic device has a lateral resolution of less than 0.6 μm. 
     
     
       15. The device of  claim 13 , wherein the microfluidic device comprises a microchannel in a region wherein the image of the at least one cell is obtained, wherein the microfluidic device further comprises means to produce a laminar flow in the microchannel. 
     
     
       16. The device of  claim 13 , wherein the device for marker-free detection comprises a deep learning network. 
     
     
       17. A method for marker-free detection of a cell type of at least one cell in a medium, comprising:
 flowing a medium comprising at least one cell into a microfluidic device; 
 obtaining an image of the at least one cell in the microfluidic device by a digital holographic microscopic device; and 
 determining the cell type of the at least one cell to be one selected from the group of a neutrophil, eosinophil, and basophil; 
 wherein the at least one cell is unfixed and unstained, 
 wherein the image is obtained with a depth of field of less than 6 μm. 
 
     
     
       18. The method of  claim 17 , wherein the image is obtained with a lateral resolution of less than 0.6 μm. 
     
     
       19. The method of  claim 17 , wherein a field of view of the digital holographic microscopic device is at most 1.0 times a width of the microfluidic device in a region wherein the image of the at least one cell is obtained.

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